Use case on the bioresponse dataset

Dataset Bioresponse

Machine Learning Task: Binary classification

This is a Bioresponse database. Predict a biological response of molecules from their chemical properties. The first column contains experimental data describing an actual biological response; the molecule was seen to elicit this response (1) or not (0). The remaining columns represent molecular descriptors (d1 through d1776); these are calculated properties that can capture some of the molecule's characteristics - for example, size, shape, or elemental constitution. The descriptor matrix has been normalized.

Available at OpenML:

Category: Technology

# Rows: 3,751 # Columns: 1,776

Target: target


Numeric: D1, D2, D3, D4, D5, D6, D7, D8, D9, D10, D11, D12, D13, D14, D15, D16, D17, D18, D19, D20, ...

Machine Learning Use Case Technology

Area Under ROC Curve (AUC)

Bioresponse Auc

Accuracy (ACC)

Bioresponse Acc

Balanced Accuracy (BALACC)

Bioresponse Balacc

Cross-Entropy Loss (LOGLOSS)

Bioresponse Logloss

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